A comprehensive review of loosening detection methods for threaded fasteners

2022 ◽  
Vol 168 ◽  
pp. 108652
Author(s):  
Jiayu Huang ◽  
Jianhua Liu ◽  
Hao Gong ◽  
Xinjian Deng
Keyword(s):  
Detection Methods ◽  
Comprehensive Review ◽  
Threaded Fasteners

scholarly journals A comprehensive review on current COVID-19 detection methods: From Lab care to Point of care diagnosis

2021 ◽  
pp. 100119
Author(s):  
Bishal Singh ◽  
Brateen Datta ◽  
Amlan Ashish ◽  
Gorachand Dutta
Keyword(s):  
Point Of Care ◽  
Detection Methods ◽  
Comprehensive Review

scholarly journals Comprehensive review of the detection methods for synthetic cannabinoids and cathinones

2015 ◽  
Vol 33 (2) ◽  
pp. 175-194 ◽  
Author(s):  
Akira Namera ◽  
Maho Kawamura ◽  
Akihiro Nakamoto ◽  
Takeshi Saito ◽  
Masataka Nagao
Keyword(s):  
Synthetic Cannabinoids ◽  
Detection Methods ◽  
Comprehensive Review

scholarly journals Spam Review Detection Techniques: A Systematic Literature Review

2019 ◽  
Vol 9 (5) ◽  
pp. 987 ◽  
Author(s):  
Naveed Hussain ◽  
Hamid Turab Mirza ◽  
Ghulam Rasool ◽  
Ibrar Hussain ◽  
Mohammad Kaleem
Keyword(s):  
Feature Extraction ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Online Reviews ◽  
Detection Methods ◽  
Spam Detection ◽  
Successful Implementation ◽  
Comprehensive Review ◽  
Detection Techniques ◽  
Review Spam

Online reviews about the purchase of products or services provided have become the main source of users’ opinions. In order to gain profit or fame, usually spam reviews are written to promote or demote a few target products or services. This practice is known as review spamming. In the past few years, a variety of methods have been suggested in order to solve the issue of spam reviews. In this study, the researchers carry out a comprehensive review of existing studies on spam review detection using the Systematic Literature Review (SLR) approach. Overall, 76 existing studies are reviewed and analyzed. The researchers evaluated the studies based on how features are extracted from review datasets and different methods and techniques that are employed to solve the review spam detection problem. Moreover, this study analyzes different metrics that are used for the evaluation of the review spam detection methods. This literature review identified two major feature extraction techniques and two different approaches to review spam detection. In addition, this study has identified different performance metrics that are commonly used to evaluate the accuracy of the review spam detection models. Lastly, this work presents an overall discussion about different feature extraction approaches from review datasets, the proposed taxonomy of spam review detection approaches, evaluation measures, and publicly available review datasets. Research gaps and future directions in the domain of spam review detection are also presented. This research identified that success factors of any review spam detection method have interdependencies. The feature’s extraction depends upon the review dataset, and the accuracy of review spam detection methods is dependent upon the selection of the feature engineering approach. Therefore, for the successful implementation of the spam review detection model and to achieve better accuracy, these factors are required to be considered in accordance with each other. To the best of the researchers’ knowledge, this is the first comprehensive review of existing studies in the domain of spam review detection using SLR process.

scholarly journals Detecting Community Structures Within Complex Networks Using a Discrete Unconscious Search Algorithm

2021 ◽  
Vol 12 (2) ◽  
pp. 15-32
Author(s):  
Ehsan Ardjmand ◽  
William A. Young II ◽  
Najat E. Almasarwah
Keyword(s):  
Social Networks ◽  
Complex Networks ◽  
Community Detection ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Academic Community ◽  
Detection Methods ◽  
The Unconscious ◽  
Comprehensive Review ◽  
Wide Range

Detecting the communities that exist within complex social networks has a wide range of application in business, engineering, and sociopolitical settings. As a result, many community detection methods are being developed by researchers in the academic community. If the communities within social networks can be more accurately detected, the behavior or characteristics of each community within the networks can be better understood, which implies that better decisions can be made. In this paper, a discrete version of an unconscious search algorithm was applied to three widely explored complex networks. After these networks were formulated as optimization problems, the unconscious search algorithm was applied, and the results were compared against the results found from a comprehensive review of state-of-the-art community detection methods. The comparative study shows that the unconscious search algorithm consistently produced the highest modularity that was discovered through the comprehensive review of the literature.

Comprehensive review of conventional and state-of-the-art detection methods of Cryptosporidium

2021 ◽  
pp. 126714
Author(s):  
George Luka ◽  
Ehsan Samiei ◽  
Nishat Tasnim ◽  
Arash Dalili ◽  
Homayoun Najjaran ◽  
...  
Keyword(s):  
State Of The Art ◽  
Detection Methods ◽  
Comprehensive Review

scholarly journals Proteomics-Based Methodologies for the Detection and Quantification of Seafood Allergens

Foods ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1134
Author(s):  
Mónica Carrera ◽  
Manuel Pazos ◽  
María Gasset
Keyword(s):  
Detection Methods ◽  
Future Directions ◽  
Comprehensive Review ◽  
Fast Detection ◽  
The World ◽  
Allergen Sources ◽  
New Methodologies ◽  
And Control ◽  
Fish And Shellfish ◽  
Detection And Quantification

Seafood is considered one of the main food allergen sources by the European Food Safety Authority (EFSA). It comprises several distinct groups of edible aquatic animals, including fish and shellfish, such as crustacean and mollusks. Recently, the EFSA recognized the high risk of food allergy over the world and established the necessity of developing new methodologies for its control. Consequently, accurate, sensitive, and fast detection methods for seafood allergy control and detection in food products are highly recommended. In this work, we present a comprehensive review of the applications of the proteomics methodologies for the detection and quantification of seafood allergens. For this purpose, two consecutive proteomics strategies (discovery and targeted proteomics) that are applied to the study and control of seafood allergies are reviewed in detail. In addition, future directions and new perspectives are also provided.

scholarly journals Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 837 ◽  
Author(s):  
Min-Sung Kim ◽  
Raza Haider ◽  
Gyu-Jung Cho ◽  
Chul-Hwan Kim ◽  
Chung-Yuen Won ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Distributed Generation ◽  
Energy Utilization ◽  
Detection Methods ◽  
Research Trend ◽  
Islanding Detection ◽  
Renewable Energy Resources ◽  
Comprehensive Review ◽  
Electric Power Networks ◽  
Utility Network

The increased penetration of distributed generation (DG), renewable energy utilization, and the introduction of the microgrid concept have changed the shape of conventional electric power networks. Most of the new power system networks are transforming into the DG model integrated with renewable and non-renewable energy resources by forming a microgrid. Islanding detection in DG systems is a challenging issue that causes several protection and safety problems. A microgrid operates in the grid-connected or stand-alone mode. In the grid-connected mode, the main utility network is responsible for a smooth operation in coordination with the protection and control units, while in the stand-alone mode, the microgrid operates as an independent power island that is electrically separated from the main utility network. Fast islanding detection is, therefore, necessary for efficient and reliable microgrid operations. Many islanding detection methods (IdMs) are proposed in the literature, and each of them claims better reliability and high accuracy. This study describes a comprehensive review of various IdMs in terms of their merits, viability, effectiveness, and feasibility. The IdMs are extensively analysed by providing a fair comparison from different aspects. Moreover, a fair analysis of a feasible and economical solution in view of the recent research trend is presented.

A comprehensive review of islanding detection methods

2021 ◽  
pp. 211-256
Author(s):  
B.K. Chaitanya ◽  
Anamika Yadav ◽  
Mohammad Pazoki ◽  
Almoataz Y. Abdelaziz
Keyword(s):  
Detection Methods ◽  
Islanding Detection ◽  
Comprehensive Review

scholarly journals Loop-mediated isothermal amplification (LAMP) – review and classification of methods for sequence-specific detection

2020 ◽  
Vol 12 (6) ◽  
pp. 717-746 ◽  
Author(s):  
Lisa Becherer ◽  
Nadine Borst ◽  
Mohammed Bakheit ◽  
Sieghard Frischmann ◽  
Roland Zengerle ◽  
...  
Keyword(s):  
Comparative Evaluation ◽  
Isothermal Amplification ◽  
Detection Methods ◽  
Specific Detection ◽  
Systematic Classification ◽  
Comprehensive Review ◽  
Loop Mediated Isothermal Amplification ◽  
Current Sequence

This comprehensive review provides a systematic classification and a comparative evaluation of current sequence-specific detection methods for LAMP.

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